Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add alphabravo-oss/guild/plugin install websterWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/alphabravo-oss/guild/content-types)<a href="https://agentmods.dev/skills/alphabravo-oss/guild/content-types"><img src="https://agentmods.dev/badge/skills/alphabravo-oss/guild/content-types.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00060 | $0.02049 |
| Opus 5 | $0.00030 | $0.01025 |
| Sonnet 5 | $0.00012 | $0.00410 |
| Haiku 4.5 | $0.00006 | $0.00205 |
Grade A, and why
content-types scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content types
Every page declares what it is and who it is for, in frontmatter:
doc_type: how-to
audience: operator
Those two declarations are what make a page checkable. doc_type decides which sections belong
and what must never appear; audience decides what the page may be about and, second, the
reading grade it is held to. The reader-lens skill carries that rule; house-rules section 6
carries the table. A page that declares no audience is a defect, because a rule nothing declares
is a rule that never fires. scripts/doctype.py check validates each page
against its declared type, and reports two severities that must not be confused.
python3 ${CLAUDE_PLUGIN_ROOT}/scripts/doctype.py types # what each type is for
python3 ${CLAUDE_PLUGIN_ROOT}/scripts/doctype.py template how-to # the starting skeleton
python3 ${CLAUDE_PLUGIN_ROOT}/scripts/doctype.py check docs # exit 1 on a defect
A skeleton is not a rule
The templates carry the sections The Good Docs Project recommends: Overview, Before you start, Steps, See also. They are a starting point for a blank page.
They are not validated, and requiring them would be wrong. Only 3 of Harvester's 128 pages
carry a literal Overview heading. Real documentation names its sections after its subject,
Hardware Requirements rather than Overview, and a checker that demanded the template's words
would report 125 false findings against the best documentation in the field.
So the skeleton guides the writing, and the checker tests only what is actually a defect.
The types
| Type | For | Never contains |
|---|---|---|
tutorial |
Learning. Hands on, teaches a skill, 15 to 60 minutes | Exhaustive option tables |
how-to |
One task, for someone who already knows the basics | Teaching the concept |
reference |
Structured entries, looked up rather than read | Procedures |
explanation |
Why it is built this way, what was refused | Procedures, endpoint schemas |
explanation + audience: user |
The choice the reader is making, and how to decide | Any mechanism they cannot act on |
quickstart |
The primary feature end to end, under two hours | Error cases, secondary features |
api-reference |
Every endpoint, parameter and response | Tutorials, concepts |
glossary |
Terms a reader will not know | Procedures |
troubleshooting |
A symptom, its cause, its fix | Concepts |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday First seen · 151 lines · 60 tokens per session scan A 17a13fbedfb3
content-types is a skill published in the GitHub repository alphabravo-oss/guild (2 stars, last pushed 3d ago), licensed MIT. It adds 60 tokens to every session and 2,049 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…
imagegen
Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…